Attention Distribution according to the Size, Color, and Location of Stimuli in the Visual Space
Abstract
Visual attention allows individuals to select the information most relevant to ongoing behavior. Attention mechanisms serve two critical roles. First, attention can be used to select behaviorally relevant information and/or to ignore irrelevant or distracting information. Second, attention can modulate or enhance the selected information according to the perceiver’s state and goals. With attention, perceivers are more than passive receivers of information. They become active seekers and processors, able to interact intelligently with their environment. Among the characteristics of visual stimuli, size can refer to the spatial extent of an item. Searching for the largest item is particularly efficient. Regarding color, it has long been accepted as a pre-attentive feature. The aim of our research was to determine the importance of three characteristics of a visual object – size, color, and location in the visual field in the process of attention distribution under central and peripheral vision conditions. In the no-text experiment (without additional information), when foveal information is scarce, attention distribution based on the size of the stimuli is more refined, and such stimuli are detected faster than in the text experiment (with additional information), where foveal information plays a more significant role. In both the no-text and text experiments, yellow and red stimuli are detected faster than green and blue. We assume that when perceiving a scene, the eye begins moving from the upper left corner to the lower left area, then to the lower right, and finally to the upper right during the no-text series when focal information is scarce. Apparently, regardless of stimulus parameters and the intensity of the information flow, stimuli located in the upper left corner of the scene are perceived faster. This may be due to the habitual left-to-right reading pattern, or one can also pay attention to the phenomenon of pseudoneglect, which is often left-sided.
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2. Bowers D, Heilman KM. Pseudoneglect: effects of hemispace on a tactile line bisection task. Neuropsychologia. 1980; 18, 491–98.
Investigative Ophthalmology and Visual Science., 35(4), 1622.
3. Bundesen, C., & Pedersen, L. F. (1983). Color segregation and visual search.Perception and Psychophysics, 33, 487-493.
4. Carter, R. C. (1982). Visual search with color. J Experimental Psychology: Human Perception and Performance, 8(1), 127- 136.
5. Dehaene, S. (1989). Discriminability and dimensionality effects in visual search for featural conjunctions: a functional pop-out. Perception & Psychophysics, 46(1), 72-80.
6. Downing, C.J., & Pinker, S. (1985). The spatial structure of visual attention. In M. I.
7. Eriksen, C.W., & Hoffman, J. (1972). Some characteristics of selective attention in visual perception determined by vocal reaction time. Perception & Performance, 11, 169-171.
8. Eriksen, C.W., & Yeh,Y.-y. (1985). Allocation of attention in the visual field. Journal of Experimental Psychology: Human Perception & Performance, 11, 583-597.
9. Farmer, E. W., & Taylor, R. M. (1980). Visual search through color displays: Effects of target-background similarity and background uniformity. Perception and Psychophysics, 27, 267-272.
10. Hoffman, J.N., & Nelson, B. (1981). Spatial selectivity in visual search. Perception & Psychophysics, 30, 283-290.
11. LaBerge, D. (1983). Spatial extent of attention to letters and words. Journal of Experimental Psychology: Human Perception & Performance, 9, 371-379.
12. Kahneman, D., & Chajczyk, D. (1983). Tests of the automaticity of reading: Dilution of Stroop effects by color-irrelevant stimuli. Journal of Experimental Psychology: Human Perception & Performance, 9, 497-509.
13. Klatt, S., Noël, B., & Schrödter, R. (2024, Feb.). Attentional asymmetries in peripheral vision. Br J Psychol., 115(1), 40-50 .
14. Lavie, N. (1995). Perceptual load as a necessary condition for selective attention. Journal of Experimental Psychology: Human Perception & Performance, 21, 451-468;
15. Lavie,, N., & Tsal, Y. (1994). Perceptual load as a major determinant of the locus of selection in visual attention. Perception & Psychophysics, 56, 183-197.
16. Larsen, A., & Bundesen, C. (1978). Size scaling in visual pattern recognition. Journal of Experimental Psychology: Human Perception & Performance, 4, 1-120.
17. Loschky, L., McConkie, G., Yang, J., & Miller, M. (2005). The limits of visual resolution in natural scene viewing. Visual Cognition, 12(6), 1057–1092.
18. Makashvili, M., Arilani, A., Elemam, B., Abdelmegid, M., Chantadze, L., Lomashvili, N., Khomeriki, M., Royinishvili, M. & Janelidze, D. (2024) - Pseudoneglect in native readers of Georgian and Arabic - World Journal of Advanced Research and Reviews (WJARR). Volume 22 - Issue 3.
19. Marinelli CV, Arduino LS, Trinczer IL, & Friedmann N. (2019). How Different Reading Habits Influence Lines, Words and Pseudowords Bisection: Evidence from Italian and Hebrew. Psychology. 10: 2051-61.
20. Marvin M. Chun, & Jeremy M. Wolfe. (2000). “Visual Attention”. Blackwell Handbook of Perception, Chapter 9; Editor: E. B. Goldstein.
21. Muayqil TA, Al-Yousef LM, Al-Herbish MJ, Al-Nafisah M, Halawani LM, Al-Bader SS, Almohideb FA, Aljomah LS, Aljafen B, & Alanazy MH. (2021). Culturally influenced performance on tasks of line bisection and symbol cancellation in Arabs. Applied Neuropsychology: Adult. 28(3): 257-68.
22. Moraglia, G., Maloney, K. P., Fekete, E. M., & Al-Basi, K. (1989). Visual search along the colour dimension. Canadian J of Psychology, 43(1), 1-12.
23. Rinaldi L, Di Luca, S, Henik A, & Girelli L.(2014). Reading direction shifts visuospatial attention: An Interactive Account of attentional biases. Acta Psychologica. 151: 98–105.
24. Posner, M.I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32, 3-25.
25. Rosenholtz, R. (2016). Capabilities and limitations of peripheral vision. Annual Review of Vision Science, 2, 437–457.
26. Shaw, M.L., & Shaw, P. (1977). Optimal allocation of cognitive resources to spatial locations. Journal of Experimental Psychology: Human Perception & Performance, 3, 201-211.
27. Treisman, A. (1985). Preattentive processing in vision. Computer Vision, Graphics, and Image Processing., 31, 156-177.
28. Wolfe, J. (1998). Visual Search, in Attention (ed. Pashler, H.), 13–74, University College London, London.
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